This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780471457114.

N� de ref. del art�culo 7075218

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Detalles bibliogr�ficos

T�tulo

Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems

Editor

IEEE Press/Wiley-Interscience

Fecha de publicaci�n

2008

Idioma

Ingl�s

ISBN 10

0471457116

ISBN 13

9780471457114

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Good

Peso

1100 gramos

Cat�logos de vendedores

Engineering

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Sinopsis

This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.

Acerca del autor

Kwang Y. Lee, PhD, is a Professor and Chair of Electrical and Computer Engineering at Baylor University (Texas). He is a Fellow of the IEEE. He was an associate editor of IEEE Transactions on Neural Networks and is an Editor of IEEE Transactions on Energy Conversion. He was also a member of the board of directors of the International Conference on Intelligent System Applications to Power Systems (ISAP).

Mohamed A. El-Sharkawi, PhD, is a Professor of Electrical Engineering at the University of Washington. He is a Fellow of the IEEE, founder of the International Forum on the Application of Neural Networks to Power Systems (ANNPS), and cofounder of the International Conference on Intelligent System Applications to Power Systems (ISAP).

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